Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Developer Tools
Agent Browser Clawdbot.Bak 2026 01 28T18:01:09+10:30
Headless browser automation CLI optimized for AI agents with accessibility tree snapshots and ref-based element selection
skill openclawclawhub Free
Headless browser automation CLI optimized for AI agents with accessibility tree snapshots and ref-based element selection
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Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md, _meta.json
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.0
Provenance
- Publisher
- nicoataiza
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Agent Browser Skill
Fast browser automation using accessibility tree snapshots with refs for deterministic element selection.
Why Use This Over Built-in Browser Tool
Use agent-browser when: Automating multi-step workflows Need deterministic element selection Performance is critical Working with complex SPAs Need session isolation Use built-in browser tool when: Need screenshots/PDFs for analysis Visual inspection required Browser extension integration needed
Core Workflow
# 1. Navigate and snapshot agent-browser open https://example.com agent-browser snapshot -i --json # 2. Parse refs from JSON, then interact agent-browser click @e2 agent-browser fill @e3 "text" # 3. Re-snapshot after page changes agent-browser snapshot -i --json
Navigation
agent-browser open <url> agent-browser back | forward | reload | close
Snapshot (Always use -i --json)
agent-browser snapshot -i --json # Interactive elements, JSON output agent-browser snapshot -i -c -d 5 --json # + compact, depth limit agent-browser snapshot -s "#main" -i # Scope to selector
Interactions (Ref-based)
agent-browser click @e2 agent-browser fill @e3 "text" agent-browser type @e3 "text" agent-browser hover @e4 agent-browser check @e5 | uncheck @e5 agent-browser select @e6 "value" agent-browser press "Enter" agent-browser scroll down 500 agent-browser drag @e7 @e8
Get Information
agent-browser get text @e1 --json agent-browser get html @e2 --json agent-browser get value @e3 --json agent-browser get attr @e4 "href" --json agent-browser get title --json agent-browser get url --json agent-browser get count ".item" --json
Check State
agent-browser is visible @e2 --json agent-browser is enabled @e3 --json agent-browser is checked @e4 --json
Wait
agent-browser wait @e2 # Wait for element agent-browser wait 1000 # Wait ms agent-browser wait --text "Welcome" # Wait for text agent-browser wait --url "**/dashboard" # Wait for URL agent-browser wait --load networkidle # Wait for network agent-browser wait --fn "window.ready === true"
Sessions (Isolated Browsers)
agent-browser --session admin open site.com agent-browser --session user open site.com agent-browser session list # Or via env: AGENT_BROWSER_SESSION=admin agent-browser ...
State Persistence
agent-browser state save auth.json # Save cookies/storage agent-browser state load auth.json # Load (skip login)
Screenshots & PDFs
agent-browser screenshot page.png agent-browser screenshot --full page.png agent-browser pdf page.pdf
Network Control
agent-browser network route "**/ads/*" --abort # Block agent-browser network route "**/api/*" --body '{"x":1}' # Mock agent-browser network requests --filter api # View
Cookies & Storage
agent-browser cookies # Get all agent-browser cookies set name value agent-browser storage local key # Get localStorage agent-browser storage local set key val
Tabs & Frames
agent-browser tab new https://example.com agent-browser tab 2 # Switch to tab agent-browser frame @e5 # Switch to iframe agent-browser frame main # Back to main
Snapshot Output Format
{ "success": true, "data": { "snapshot": "...", "refs": { "e1": {"role": "heading", "name": "Example Domain"}, "e2": {"role": "button", "name": "Submit"}, "e3": {"role": "textbox", "name": "Email"} } } }
Best Practices
Always use -i flag - Focus on interactive elements Always use --json - Easier to parse Wait for stability - agent-browser wait --load networkidle Save auth state - Skip login flows with state save/load Use sessions - Isolate different browser contexts Use --headed for debugging - See what's happening
Example: Search and Extract
agent-browser open https://www.google.com agent-browser snapshot -i --json # AI identifies search box @e1 agent-browser fill @e1 "AI agents" agent-browser press Enter agent-browser wait --load networkidle agent-browser snapshot -i --json # AI identifies result refs agent-browser get text @e3 --json agent-browser get attr @e4 "href" --json
Example: Multi-Session Testing
# Admin session agent-browser --session admin open app.com agent-browser --session admin state load admin-auth.json agent-browser --session admin snapshot -i --json # User session (simultaneous) agent-browser --session user open app.com agent-browser --session user state load user-auth.json agent-browser --session user snapshot -i --json
Installation
npm install -g agent-browser agent-browser install # Download Chromium agent-browser install --with-deps # Linux: + system deps
Credits
Skill created by Yossi Elkrief (@MaTriXy) agent-browser CLI by Vercel Labs
Category context
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
1 Docs1 Config
- SKILL.md
- _meta.json